Evidence map›Paper›PMID 37479682›Full record

ArticleNature communications2023

Genetic variation in the immunoglobulin heavy chain locus shapes the human antibody repertoire.

Oscar L Rodriguez, Yana Safonova, Catherine A Silver, Kaitlyn Shields, William S Gibson, Justin T Kos, David Tieri, Hanzhong Ke, Katherine J L Jackson, Scott D Boyd and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed
19.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

86 citing papers in PubMed, 119 citations in OpenAlex.

  1. Trial
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  6. Proteogenomics in human populations.Nature reviews. Genetics · 2026
    Review
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  19. Unraveling IGK locus in dog breeds: IMGTNAR genomics and bioinformatics · 2026
    Article
  20. Article

26 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 2 countries.

Oscar L RodriguezDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA.
Yana SafonovaDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-9634-4216
Catherine A SilverDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA.
Kaitlyn ShieldsDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA.
William S GibsonDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA.
Justin T KosDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA.ORCID 0000-0003-2645-3641
David TieriDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA.
Hanzhong KeDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-8148-2897
Katherine J L JacksonThe Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.ORCID 0000-0002-9952-7069
Scott D BoydDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-0963-044X
Melissa L SmithDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA. ml.smith@louisville.edu.ORCID 0000-0001-7151-3207
Wayne A MarascoDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA. Wayne_Marasco@dfci.harvard.edu.ORCID 0000-0003-3764-4611
Corey T WatsonDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA. corey.watson@louisville.edu.ORCID 0000-0001-7248-8787
University of Louisville · USHarvard University · USGarvan Institute of Medical Research · AUJohns Hopkins University · USStanford University · US

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
Tracking allergen specific T cells in multi-food allergyU19AI104209 · NIAID · STANFORD UNIVERSITY · PI GALLI, STEPHEN JOSEPH · 2013 to 2025
$17.3M
Systems biological assessment of T cell responses to vaccinationU19AI167903 · NIAID · STANFORD UNIVERSITY · PI BALI PULENDRAN · 2022 to 2026
$13.2M
Identification of Metabolic and Immune Deficits in the Aged Population and Their Restoration to Achieve Youthful Anti-Influenza Vaccine ResponsivenessU01AI165442 · NIAID · DANA-FARBER CANCER INST · PI Wayne A. Marasco · 2022 to 2026
$5.9M
An ethnically diverse genomic reference resource for the human heavy and light chain immunoglobulin lociR24AI138963 · NIAID · UNIVERSITY OF LOUISVILLE · PI Melissa Laird Smith, Corey Taylor Watson · 2018 to 2026
$5.5M
Effects of aging on primary and secondary vaccine responses in a 15-year longitudinal cohortR01AI130398 · NIAID · STANFORD UNIVERSITY · PI BOYD, SCOTT DEXTER · 2017 to 2021
$4.0M
Studies of IGHV Germline Gene Polymorphism, Utilization & Shifting for Seasonal Influenza Vaccine Induced Broadly Neutralizing Antibody ResponsesR01AI121285 · NIAID · DANA-FARBER CANCER INST · PI MARASCO, WAYNE A. · 2016 to 2020
$4.0M
Kentucky Network for Innovation & Commercialization (“KYNETIC”)U01HL152392 · NHLBI · UNIVERSITY OF KENTUCKY · PI DWOSKIN, LINDA P, MERTEN, KEVYN E · 2019 to 2022
$3.9M
FUNCTIONAL ANALYSIS OF PATHOGENIC AND PROTECTIVE PEANUT ALLERGEN-SPECIFIC HUMAN ANTIBODIESR01AI125567 · NIAID · STANFORD UNIVERSITY · PI BOYD, SCOTT DEXTER · 2017 to 2022
$2.6M
Storage and recall of human B cell memory of influenza over tissues and timeR01AI127877 · NIAID · STANFORD UNIVERSITY · PI BOYD, SCOTT DEXTER · 2017 to 2021
$2.0M
Population level characterization of human immunoglobulin heavy chain germline variants with impacts on variability in the Ab repertoire of healthy adultsR21AI142590 · NIAID · UNIVERSITY OF LOUISVILLE · PI MARASCO, WAYNE A., WATSON, COREY TAYLOR · 2019 to 2020
$477k
NHLBI NIH HHS U01 HL152392NIAID NIH HHS R01 AI121285NIAID NIH HHS R01 AI125567NIAID NIH HHS R01 AI127877NIAID NIH HHS R01 AI130398NIAID NIH HHS R21 AI142590NIAID NIH HHS R24 AI138963NIAID NIH HHS U01 AI165442NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI104209NIAID NIH HHS U19 AI167903
6 · The paper itself

Abstract

Variation in the antibody response has been linked to differential outcomes in disease, and suboptimal vaccine and therapeutic responsiveness, the determinants of which have not been fully elucidated. Countering models that presume antibodies are generated largely by stochastic processes, we demonstrate that polymorphisms within the immunoglobulin heavy chain locus (IGH) impact the naive and antigen-experienced antibody repertoire, indicating that genetics predisposes individuals to mount qualitatively and quantitatively different antibody responses. We pair recently developed long-read genomic sequencing methods with antibody repertoire profiling to comprehensively resolve IGH genetic variation, including novel structural variants, single nucleotide variants, and genes and alleles. We show that IGH germline variants determine the presence and frequency of antibody genes in the expressed repertoire, including those enriched in functional elements linked to V(D)J recombination, and overlapping disease-associated variants. These results illuminate the power of leveraging IGH genetics to better understand the regulation, function, and dynamics of the antibody response in disease.

Indexed as

Genes, ImmunoglobulinGenes, Immunoglobulin Heavy ChainAllelesGerm-Line MutationHumansImmunoglobulin Heavy ChainsImmunoglobulin Heavy Chains

Identifiers

PMID37479682
PMCPMC10362067
OpenAlexW4385064650

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.